Adelaide Research & Scholarship
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https://hdl.handle.net/2440/70322
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| Type: | Journal article |
| Title: | Target recognition by means of polarimetric ISAR images |
| Author: | Martorella, M. Giusti, E. Demi, L. Zhou, Z. Cacciamano, A. Berizzi, F. Bates, B. |
| Citation: | IEEE Transactions on Aerospace and Electronic Systems, 2011; 47(1):225-239 |
| Publisher: | IEEE-Inst Electrical Electronics Engineers Inc |
| Issue Date: | 2011 |
| ISSN: | 0018-9251 1557-9603 |
| Statement of Responsibility: | M. Martorella, E. Giusti, L. Demi, Z. Zhou, A. Cacciamano, F. Berizzi, B. Bates |
| Abstract: | Automatic target recognition (ATR) is generally the reason why inverse synthetic aperture radar (ISAR) imaging systems are employed. Moreover, the use of fully polarimetric radar systems in radar imaging applications such as SAR and ISAR has enhanced both image quality and classification capabilities. The authors propose a novel technique for ATR using polarimetric ISAR (Pol-ISAR) images. The proposed method is based on a model matching approach. Results are obtained that show the effectiveness of such a technique. |
| Rights: | © 2011 IEEE |
| DOI: | 10.1109/TAES.2011.5705672 |
| Published version: | http://dx.doi.org/10.1109/taes.2011.5705672 |
| Appears in Collections: | Aurora harvest 5 Electrical and Electronic Engineering publications |
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